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UC1ST110 Studio 1

UC1ST110 Studio 1

  • Course description
    • NQF Level
      Bachelor's degree (Level 6 1. Cycle)
    • Area of Study
      Computing
    • Program of Study
      Computing 1. year
    • ECTS
      10
    • Campus
      Kristiansand, OnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
    • Course Leader
      Gerhard Steyn
Introduction

Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.

Included in the following bachelor's degrees:

  • Applied Data Science
  • Digital Forensics
  • Cyber Security
Course Aim(s)

The course aims to develop fundamental skills needed within the computing disciplines. The course develops the students' technical and soft skills using a combination of theory, and practical exposure to the IT landscape.

By the end of the course students should be familiar with modern computing environments, proficient in the use of common tools for data access, manipulation, and presentation. The students should also be familiar with relevant social issues relating to computing, the Internet, and the impact of computing on society, including topical issues. Students will be required to undertake a combination of group and individual work.

Course Learning Outcomes
Knowledge

The student has knowledge of

K1 project development and management.
K2 sources of information appropriate to the domain of study, to further their knowledge of a particular topic.
K3 the tools, technologies, and methodologies used in the development of solutions within the domain of the bachelor program of study.
Skills

The student gain skills in

S1 being able to research a topic using appropriate sources.
S2 being able to understand the interaction between various stages of a project.
S3 being able to investigate, explore, and present the solution to a problem relevant to the student's program of study.
S4 being able to use appropriate tools and technologies.
S5 being able to reflect upon their learning process throughout this course.
General Competence

The student can demonstrate

G1 to be responsible for their role as part of a team.
G2 to diligently research and understand a topic.
G3 ability to select and reference appropriately sourced material.
G4 presentation of project progress and results in an appropriately professional manor.
G5 ability to critically reflect upon progression within the topic area.
Course Topics
  • Basic Tools and Application Essentials
  • Digital Literacy Fundamentals
  • Personal Branding and Digital Presence
  • Presentation and Data Processing
  • Introduction to Operating Systems
  • Project Management
  • Capstone Assessment
Teaching Methods
  1. Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
  2. All activities require active student participation in their own learning.
  3. Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
  4. Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.
Resources and Equipment
  1. Learning resources are available in the LMS and include, but is not limited to:
    • literature and online reading material (essential and recommended)
    • streams, recordings and other digital resources, where applicable
    • video conferencing and communication platforms, if applicable
    • tools, software and libraries, where applicable
  2. Students must have access to an internet connection, and suitable hardware.
    • Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
  3. Students working on their own laptop/computer are required to acquire appropriate communications software, a webcam, and headphones (or a similar alternative).
Prerequisite Knowledge

Refer to admission requirements.

Reading List

The reading list for this course and any additional electronic resources will be provided in the LMS.

Study Workload

250 nominal hours.
Study workload applies to both Campus and Online students.

ActivityDuration
Teacher-led activity
24 Hour(s)
Teacher-supported work
48 Hour(s)
Self-study
178 Hour(s)
Work Requirements

There are no mandatory assignments on this course.

Assessment Strategy

This course has two (2) exams contributing towards the overall and final grade of the course.

The exam must be assessed as passed to receive the final Course Grade.

Form of assessmentGrading scaleGroupingDuration of assessment
Report
A-F
Presentation
A-F